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Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Authored by Gennady F. (Blackbelt) Last updated on 06/23/2019 - 18:50
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Using Intel® MKL with R

Overview

Authored by TODD R. (Intel) Last updated on 03/27/2019 - 10:00
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Extending R with Intel MKL

Introduction

Authored by TODD R. (Intel) Last updated on 03/27/2019 - 13:20
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Build R-3.4.2 with Intel® C++ and Fortran Compilers and Intel® MKL on Linux*

R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. This guide will show how to build R with the Intel® C++ and Fortran Compilers and BLAS and LAPACK libraries within Intel® Math Kernel...
Authored by Devorah H. (Intel) Last updated on 06/19/2018 - 18:22
Blog post

Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

Authored by Henry Gabb (Intel) Last updated on 07/06/2019 - 17:10
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Authored by admin Last updated on 03/21/2019 - 12:00
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Authored by admin Last updated on 12/12/2018 - 18:08
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Parallel Universe Magazine - Issue 29, July 2017

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